Text-To-Sql
This model is a fine-tuned version of t5-small on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.1279
- Model Preparation Time: 0.014
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 0.2014 | 1.0 | 4049 | 0.1608 | 0.014 |
| 0.1701 | 2.0 | 8098 | 0.1411 | 0.014 |
| 0.1525 | 3.0 | 12147 | 0.1333 | 0.014 |
| 0.1467 | 4.0 | 16196 | 0.1291 | 0.014 |
| 0.145 | 5.0 | 20245 | 0.1279 | 0.014 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jimesh-patel/Text-To-Sql") model = AutoModelForSeq2SeqLM.from_pretrained("Jimesh-patel/Text-To-Sql")